Python Software Developer

1 week ago

London, Greater London, United Kingdom Maximum Information Full time
About the Role

We are seeking a highly skilled Python Software Developer to join our team at Maximum Information, a company that specializes in disaster-risk management and catastrophe modeling. As a key member of our development team, you will play a crucial role in the development of our Hazard Impact Tracker (HIT) application, which aims to improve the resilience of society to natural catastrophes.

Key Responsibilities
  • Develop new software features, including implementing catastrophe risk-related data feeds and structuring decision frameworks
  • Maintenance and refactoring of existing code
  • Testing and bug fixing
  • Deployment of new features and updates
Requirements
  • Strong Python proficiency, with experience in data architecture and back-end services
  • Strong programming experience creating and running web APIs
  • Knowledge of and experience using a version control tool
  • Excellent problem-solving, analytical, and troubleshooting skills
  • Effective communication and teamwork skills
  • A keen interest in learning about catastrophe modeling, disaster risk management, and risk-transfer
Desired Skills and Qualifications
  • A computer science or software engineering degree
  • Knowledge of a Python framework
  • Experience with micro-services and containers
  • Proven track record in designing and implementing infrastructure
  • Knowledge of scientific and data manipulation Python libraries, such as Pandas, Numpy, Xarray, and mapping libraries like Folium/Plotly
  • Basic understanding of R/Shiny
  • Familiarity with front-end technologies, such as JavaScript, HTML5, and CSS3
  • Proficiency with geospatial datasets
About Maximum Information

Maximum Information is a company that works at the intersection of disaster-risk management and catastrophe modeling. Founded by a multi-disciplinary team of natural hazards scientists, actuaries, data scientists, and software engineers, we aim to improve the resilience of society to natural catastrophes.

We see the accurate quantification and prediction of risk using catastrophe models as an integral part of addressing this challenge. Catastrophe models are numerical tools that employ scientific, statistical, engineering, and economic-based components to help estimate and manage the impact of natural perils, such as hurricanes, earthquakes, and wildfires.

Our current product suite of SaaS applications helps model users that are exposed to catastrophic events build out reliable decision-making capabilities to mitigate and/or adapt to risk.

Key to our identity as a company is the fostering of tight links with not-for-profit and academic sectors. With strong industry-facing backgrounds, we are keen to develop open-access disaster risk methodologies which can be both cost-effective and sustainable, working with and for organizations such as the London School of Economics, Red Cross Red Crescent, Insurance Development Forum, Royal Meteorological Society, and Lighthill Risk Network.

What We Offer
  • A competitive salary of £40k+
  • A share option package
  • 30 days holiday (plus Bank Holidays)
  • A private health insurance scheme

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